+ HEALTH Aims Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiome…+ HEALTH Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition a…± HEALTH Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inher…+ HEALTH Objectives We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally d…± HEALTH Melioidosis is a life-threatening infectious disease caused by Burkholderia pseudomallei ( Bp ). Rapid diagno…+ HEALTH Classification is a core machine learning task, and ensemble voting methods are widely used to improve predic…+ CLIMATE Microplastic (MP) pollution poses escalating environmental risks, demanding efficient and reproducible tools…± HEALTH Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into appro…
TruaceTracing the truth around AIWednesday, August 26, 2026
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TRV-2026-0092Retracted — remains on the recordJournalism

We Are Not Machines by Sarah O’Connor review – can dignity at work survive the tech revolution?

It’s never been easy to land and keep a decent job. But it feels like it’s getting harder. In June, the number of job vacancies in the UK fell to a five-year low; headlines warn of a looming AI-employment shock. What might the future of work look like – and who or what will shape its terms? In her new book, Sarah O’Connor goes looking for answers in the modern collision of artificial intelligence, automation, and human labour. This clash between human and machine – and the fight to secure decent working conditions

Labor · The Trace — both readings · certified 2026-07-12 · v4 · article view · machine-readable

This record was retracted on 2026-07-13 — Model backfill: source did not support a publishable AI-impact claim. It remains permanently retrievable here, as does every prior version below.
Current reading — gain

Warehouses like EMA4 are supported by remote workers in Costa Rica and India, whose jobs are to monitor video feeds of Amazon shelves, auditing the accuracy of the AI camera systems that track where items are placed.

Current reading — problem

O’Connor has been a reporter at the Financial Times for nearly two decades, and although We Are Not Machines looks to the future, many of the threats AI poses to workers’ dignity and safety look a lot like reconfigurations of old battles.

What this doesn’t fix

Machine-ingested summary: the claims above reflect a single primary source and have not been weighed against contradicting evidence by a Truvace editor yet.

Evidence

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Truvace Impact Record TRV-2026-0092, v4: “We Are Not Machines by Sarah O’Connor review – can dignity at work survive the tech revolution?.” Truvace, 2026-07-13. /record/TRV-2026-0092 (accessed at citation time). sha256 23873a4f1eed88dd…

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    Model backfill: source did not support a publishable AI-impact claim

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